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SnowflakeSnowflakeMenlo Park, CA

Director, Data Science – GTM (Data, Analytics & AI)

Leads data science strategy and team for Snowflake's Go-To-Market organization, partnering with Sales, Marketing, and RevOps to deliver AI/ML solutions like forecasting, lead scoring, and churn prediction. Requires 10+ years experience including 5+ in leadership, strong SQL/Python skills.

262k – 376k/yr
On-site10+ YOEData Analytics

About the role

What You’ll Do

  • Own GTM Data Science strategy: Define and execute the roadmap for data science across pipeline generation, sales productivity, and customer growth.
  • Drive measurable business impact: Deliver insights, models, and recommendations across areas such as marketing attribution, forecasting, segmentation, lead scoring, and next best action.
  • Partner with GTM leadership: Act as a trusted advisor to senior stakeholders across Sales, Marketing, and RevOps, influencing strategic planning and operational decisions.
  • Build and scale a high-performing team: Recruit, develop, and lead a team of data scientists, fostering a culture of strong execution, technical excellence, and business impact.
  • Establish experimentation and measurement frameworks: Lead the design and scaling of experimentation, causal inference, and performance measurement across the GTM funnel.
  • Strengthen data foundations: Partner with Analytics Engineering and Business Analytics teams to ensure trusted data models, consistent metrics, and scalable pipelines.
  • Advance AI in GTM: Identify and deploy AI-driven solutions including lead prioritization, customer segmentation, churn prediction, and sales recommendations.

What We’re Looking For

  • 10+ years of experience in data science, analytics, or a related field, with 5+ years in leadership roles
  • Proven experience supporting GTM functions in a B2B SaaS or high-growth technology company
  • Strong track record of delivering measurable impact through advanced analytics and/or machine learning
  • Experience partnering with senior stakeholders across Sales, Marketing, and RevOps
  • Strong technical foundation in SQL and Python, with experience working on modern data platforms such as Snowflake
  • Experience building and scaling teams in fast-paced, high-growth environments
  • Deep understanding of experimentation, forecasting, and customer lifecycle analytics

Nice to Have

  • Experience leading ML projects in GTM domains, such as lead scoring, propensity modeling, churn prediction, and next best action
  • Hands-on experience building or deploying models for lead prioritization and propensity scoring to drive pipeline efficiency and conversion
  • Experience with data enrichment strategies, including integrating third-party data sources to enhance customer profiles, segmentation, and targeting
  • Familiarity with modern data stack tools
  • Experience applying AI/ML to GTM use cases in enterprise environments

Skills

SQLPythonSnowflakeMachine LearningForecastingExperimentationCausal InferenceLead ScoringChurn PredictionSegmentation

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